基于PC104的智能质谱仪真空监测系统

Ping Lu, Wen-Jin Wang, Ping Du, Ting Wu, Ling Yang, Deyuan Li
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引用次数: 0

摘要

介绍了一种基于PC104的质谱仪真空智能监控系统。该系统主要由高速模拟信号采集、基于PIC32的数据滤波和实时抗干扰通信技术组成。高速模数转换器用于获取要监控的外部物理量。根据AD信号随机干扰的特点,在考虑系统实时性要求的同时,采用移动平均滤波器来降低噪声。在此基础上,提出了与上位机通信时的容错状态传输机制,以保证传输的可靠性。实验结果表明,该滤波算法在实时性好、功耗低的同时,处理后的真空和温度测量数据的噪声系数分别降低了58.4%和60.2%。因此,该系统可以满足恶劣现场条件下实时监测的要求。
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An Intelligent Mass Spectrometer Vacuum Monitoring System Based on PC104
This paper presents an intelligent vacuum monitoring system for mass spectrometer based on PC104. This system mainly consists of high-speed analog signal acquisition, data filtering based on PIC32, and real-time anti-jamming communication technology. A high-speed AD converter is employed to acquire external physical quantities that are to be monitored. According to the characteristics of AD signal's random disturbance, a moving average filter is used to reduce noise while giving consideration to the real-time request of the system. Afterwards, an error-resilient status transfer mechanism is proposed during communication with the master computer to guarantee transmission reliability. Experimental results show that while possessing good real-time capability and low power consumption, the noise factors of the vacuum and temperature measuring data processed by this filtering algorithm are decreased by 58.4% and 60.2% respectively. Hence, the proposed system satisfies the requirements of real-time monitoring in harsh field condition.
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